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The NRL Multi Aperture SAR system | IEEE Conference Publication | IEEE Xplore

The NRL Multi Aperture SAR system


Abstract:

This paper describes the Naval Research Laboratory Multi Aperture Synthetic Aperture Radar (NRL MSAR) and presents initial results from the first field deployment of this...Show More

Abstract:

This paper describes the Naval Research Laboratory Multi Aperture Synthetic Aperture Radar (NRL MSAR) and presents initial results from the first field deployment of this system. The NRL MSAR is an airborne test bed designed to investigate remote sensing and surveillance applications that exploit multiple along-track phase centers, in particular, applications that require measurement of scene motion. The system operates at X-band and supports 32 along-track phase centers through the use of two transmit horns and 16 receive antennas. As illustrated in this paper, SAR images generated with these phase centers can be coherently combined to directly measure scene motion using the Velocity SAR (VSAR) algorithm. In September 2014, this unique radar was deployed for the first time on an airborne platform, a Saab 340 aircraft. This paper presents a description of the system, initial images from the September 2014 tests, and the results of initial coherent analyses to produce estimates of scene and target motion. These images were collected over an ocean inlet and contain a variety of moving backscatter sources, including automobiles, ships, shoaling ocean waves, and tidal currents.
Date of Conference: 10-15 May 2015
Date Added to IEEE Xplore: 25 June 2015
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Conference Location: Arlington, VA, USA
Citations are not available for this document.

I. Introduction

High fidelity imaging of moving targets is a well-known challenge for synthetic aperture radar (SAR), especially in ocean environments. Standard SAR processing methods assume the entire scene is stationary, and interpret the Doppler histories in the data accordingly. Any Doppler shifts introduced by target or scene motion will be misinterpreted and the corresponding backscatter will be misplaced in the image. The classic example of this is the ‘train-off-the-track’, in which the signature of a range-traveling train appears displaced from the signature of the track upon which it is running. More serious distortions occur if different parts of the target move at different speeds, which is often the case for vessels moving on a dynamic ocean surface, as the target's signature in the image will then be smeared, not merely displaced. Advanced techniques utilizing multiple-aperture SAR (MSAR) systems have been developed to detect moving targets, estimate their velocities, and correct their positions within the image [1]–[3]. The apertures in these systems are arranged along the flight axis to provide measurements of the scene at slightly different times but from the same vantage point in space, thereby allowing separation of the scene motion from that of the SAR platform. However, all these techniques assume the clutter is stationary, and thus they have limited applicability to ocean environments.

Cites in Papers - |

Cites in Papers - IEEE (12)

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1.
Young-Geun Kang, Seungwoon Park, Eunsung Kim, Kyeongrok Kim, Seong-Ook Park, "Multichannel Along-Track Interferometric SAR System Implementation Using FMCW Radar", IEEE Geoscience and Remote Sensing Letters, vol.20, pp.1-5, 2023.
2.
Robert W. Jansen, Raghu G. Raj, "MSAR-Net: A Deep Learning Based Classification Approach for Learning the Maritime Environment", IEEE Transactions on Geoscience and Remote Sensing, vol.60, pp.1-9, 2022.
3.
Robert W. Jansen, Raghu G. Raj, "Sparse Multi-Channel Synthetic Aperture Radar Based Motion Induced Distortion Correction and Classification of Maritime Scenes", IEEE Access, vol.9, pp.131109-131119, 2021.
4.
Raghu G. Raj, Christopher T. Rodenbeck, Ronald D. Lipps, Robert W. Jansen, Thomas L. Ainsworth, "A Multilook Processing Approach to 3-D ISAR Imaging Using Phased Arrays", IEEE Geoscience and Remote Sensing Letters, vol.15, no.9, pp.1412-1416, 2018.
5.
Robert W. Jansen, Raghu G. Raj, Luke Rosenberg, Mark A. Sletten, "Practical Multichannel SAR Imaging in the Maritime Environment", IEEE Transactions on Geoscience and Remote Sensing, vol.56, no.7, pp.4025-4036, 2018.
6.
Luke Rosenberg, Robert Jansen, Mark Sletten, "Correction of azimuthal motion in velocity SAR imagery", 2017 IEEE Radar Conference (RadarConf), pp.0052-0057, 2017.
7.
Mark A. Sletten, Luke Rosenberg, Steven Menk, Jakov V. Toporkov, Robert W. Jansen, "Maritime Signature Correction With the NRL Multichannel SAR", IEEE Transactions on Geoscience and Remote Sensing, vol.54, no.11, pp.6783-6790, 2016.
8.
Raghu G. Raj, Robert W. Jansen, Mark A. Sletten, "A sparsity based approach to velocity SAR imaging", 2016 IEEE Radar Conference (RadarConf), pp.1-6, 2016.
9.
Luke Rosenberg, Mark Sletten, "Analysis of maritime X-band velocity SAR imagery", 2015 IEEE Radar Conference, pp.121-126, 2015.
10.
Pierfrancesco Lombardo, Debora Pastina, Fabrizio Turin, "Ground Moving Target detection Based on MIMO SAR systems", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, no.11, pp.5081-5095, 2015.
11.
Mark Sletten, Paul Hwang, Jakov Toporkov, Steve Menk, Luke Rosenberg, Robert Jansen, "Analysis and correction of maritime SAR signatures with the NRL MSAR", 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.2489-2492, 2015.
12.
Raghu G. Raj, Robert W. Jansen, Ronald D. Lipps, Mark A. Sletten, Luke Rosenberg, "Velocity-ISAR: On the application of ISAR techniques to multichannel SAR imaging", 2015 IEEE Radar Conference (RadarCon), pp.1050-1055, 2015.
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